Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
RE: st: RE: regression with categorical predictors
From
amir gahremanpour <[email protected]>
To
statalist <[email protected]>
Subject
RE: st: RE: regression with categorical predictors
Date
Tue, 30 Aug 2011 12:01:48 -0500
thank you, al Feiveson !
----------------------------------------
> From: [email protected]
> To: [email protected]
> Date: Tue, 30 Aug 2011 11:57:22 -0500
> Subject: st: RE: regression with categorical predictors
>
> Amir - You are correct. There is no automatic adjustment.
>
> al Feiveson
>
> -----Original Message-----
> From: [email protected] [mailto:[email protected]] On Behalf Of amir gahremanpour
> Sent: Tuesday, August 30, 2011 11:07 AM
> To: statalist
> Subject: st: regression with categorical predictors
>
> Hello everybody,
>
> First let me apologize if my question is very primitive, I am trying to self educate myself about regression with stata.
> When I have a categorical predictor with more than two levels , I am not sure if the p-values stata provides are adjusted for multiple comparison or are not? This example is from stata documentation , variable region has 4 levels , are the p-values adjusted for 3 comparisons to the base level? I do not think so !
>
> thanks a lot
>
>
>
>
>
>
>
>
> use http://www.stata-press.com/data/r12/census9
> (1980 Census data by state)
>
> . regress drate medage i.region [w=pop]
> (analytic weights assumed)
> (sum of wgt is 2.2591e+08)
>
> Source | SS df MS Number of obs = 50
> -------------+------------------------------ F( 4, 45) = 37.21
> Model | 4096.6093 4 1024.15232 Prob > F = 0.0000
> Residual | 1238.40987 45 27.5202192 R-squared = 0.7679
> -------------+------------------------------ Adj R-squared = 0.7472
> Total | 5335.01916 49 108.877942 Root MSE = 5.246
>
> ------------------------------------------------------------------------------
> drate | Coef. Std. Err. t P>|t| [95% Conf. Interval]
> -------------+----------------------------------------------------------------
> medage | 4.283183 .5393329 7.94 0.000 3.196911 5.369455
> |
> region |
> 2 | .3138738 2.456431 0.13 0.899 -4.633632 5.26138
> 3 | -1.438452 2.320244 -0.62 0.538 -6.111663 3.234758
> 4 | -10.90629 2.681349 -4.07 0.000 -16.30681 -5.505777
> |
> _cons | -39.14727 17.23613 -2.27 0.028 -73.86262 -4.431915
> ------------------------------------------------------------------------------
>
> . * testing the joint significance of joint variable
>
>
>
>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/